Borrowing it
Nothing to install: this file belongs to RipeMangoBox/BITE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RipeMangoBox/BITE/main/.claude/skills/papers-audit-metadata-consistency/SKILL.mdgit clone --depth 1 https://github.com/RipeMangoBox/BITEWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ripemangobox/bite/papers-audit-metadata-consistency)<a href="https://agentmods.dev/skills/ripemangobox/bite/papers-audit-metadata-consistency"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/papers-audit-metadata-consistency/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ripemangobox/bite/papers-audit-metadata-consistency"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/papers-audit-metadata-consistency.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.00480 |
| Opus 5.5 | $0.00024 | $0.00192 |
| Sonnet 5.5 | $0.00012 | $0.00096 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
papers-audit-metadata-consistency scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Metadata Consistency Audit
What this skill does
Runs one unified audit entry for step5 quality governance:
- checks
obsidian-vault/paper_list.csvand legacy list/log entries when present; - checks
obsidian-vault/analysis/**/*.mdanalysis notes; - checks cross-layer consistency between log/list and analysis notes;
- outputs
obsidian-vault/batches/reports/quality_report_*.md(optionally.json).
Coverage
This skill covers structural and metadata hygiene only.
- title / venue / year consistency
- link completeness (
paper_link,project_link/github_link,pdf_ref) - duplicate paper detection in txt logs
- analysis note structure anomalies (missing frontmatter keys, missing semantic analysis sections)
- unmatched records (
only-in-txt,only-in-md)
Current limits
- does not evaluate whether conclusions are sufficiently supported by evidence
- does not score citation quality in idea notes or share notes
- does not audit completeness of comparison tables or downstream summaries
- does not detect stale analyses that should be refreshed
- broader semantic-layer governance belongs to a future knowledge-hygiene / evidence-governance extension
Run
From the repository root:
python3 .claude/skills/papers-audit-metadata-consistency/scripts/audit_metadata_consistency.py
Optional JSON output:
python3 .claude/skills/papers-audit-metadata-consistency/scripts/audit_metadata_consistency.py --json
Output
obsidian-vault/batches/reports/quality_report_<YYYY-MM-DD_HHMM>.md- optional
obsidian-vault/batches/reports/quality_report_<YYYY-MM-DD_HHMM>.json
When to use
- after collect/download/analyze batches
- before rebuilding indexes
- periodic KB quality checks for open-source readiness
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 61 lines · 60 tokens per session scan A c3a05e027a74
papers-audit-metadata-consistency is a skill published in the GitHub repository RipeMangoBox/BITE (62 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 480 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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